[논문리뷰] MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-HeadarXiv에 게시된 'MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head' 논문에 대한 자세한 리뷰입니다.#Review#Linear Attention#Multi-Head Attention#Transformer#Global Context Collapse#Representational Diversity#Image Generation#NLP#Video Generation2026년 1월 12일댓글 수 로딩 중
[논문리뷰] Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data GenerationXiaolei Huang이 arXiv에 게시한 'Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation' 논문에 대한 자세한 리뷰입니다.#Review#Synthetic Data Generation#Large Language Models (LLMs)#Genetic Algorithms#Textual Data Augmentation#Active Learning#NLP#Data Diversity2025년 9월 3일댓글 수 로딩 중